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网站建设上海珍岛,游戏推广员怎么做,自己电脑做网站教程,wordpress禁止googleStreamlit A faster way to build and share data apps streamlit在几分钟内就可以将数据脚本转换为可共享的web应用程序，并且是纯python编程，无需前端经验。快速开始 streamlit非常容易上手，运行demo只需2行代码： pip install…

Streamlit
A faster way to build and share data apps

streamlit在几分钟内就可以将数据脚本转换为可共享的web应用程序，并且是纯python编程，无需前端经验。

快速开始

streamlit非常容易上手，运行demo只需2行代码：

pip install streamlit
streamlit hello

运行后会在系统默认浏览器自动打开页面：

动画demo：

画曲线图demo：

可以访问这里查看更多好玩儿的demo。

streamlit建立在三个简单原则之上：

拥抱脚本

streamlit api非常简洁，正如前面所演示的，使用这些神奇简单的api，只需几行代码就可以构建应用程序，并可以实时更新。
编织互动

添加小部件只需声明变量，无需编写后端、定义路由、处理http请求、连接前端、编写html、css、javascript等等
部署敏捷

直接从 Streamlit 轻松共享、管理和部署您的应用程序。完全免费！

安装

windows上建议使用anaconda管理python开发环境，如果嫌弃anaconda过于庞大，可以安装miniconda。

将conda命令集成到windows terminal，可以参考这篇文章。

安装anaconda或miniconda后，建立一个streamlit的开发环境：

❯ conda create -n streamlit-env python=3.9
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Solving environment: done==> WARNING: A newer version of conda exists. <==current version: 4.10.3latest version: 23.1.0Please update conda by running$ conda update -n base -c defaults conda## Package Plan ##environment location: C:\Users\yp.wang\anaconda3\envs\streamlit-envadded / updated specs:- python=3.9The following packages will be downloaded:package                    |            build---------------------------|-----------------ca-certificates-2023.01.10 |       haa95532_0         121 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/maincertifi-2022.12.7          |   py39haa95532_0         149 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mainopenssl-1.1.1t             |       h2bbff1b_0         5.5 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mainpip-22.3.1                 |   py39haa95532_0         2.7 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mainpython-3.9.16              |       h6244533_0        19.4 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mainsetuptools-65.6.3          |   py39haa95532_0         1.1 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mainsqlite-3.40.1              |       h2bbff1b_0         889 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/maintzdata-2022g               |       h04d1e81_0         114 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/mainwheel-0.38.4               |   py39haa95532_0          83 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main------------------------------------------------------------Total:        30.1 MBThe following NEW packages will be INSTALLED:ca-certificates    anaconda/pkgs/main/win-64::ca-certificates-2023.01.10-haa95532_0certifi            anaconda/pkgs/main/win-64::certifi-2022.12.7-py39haa95532_0openssl            anaconda/pkgs/main/win-64::openssl-1.1.1t-h2bbff1b_0pip                anaconda/pkgs/main/win-64::pip-22.3.1-py39haa95532_0python             anaconda/pkgs/main/win-64::python-3.9.16-h6244533_0setuptools         anaconda/pkgs/main/win-64::setuptools-65.6.3-py39haa95532_0sqlite             anaconda/pkgs/main/win-64::sqlite-3.40.1-h2bbff1b_0tzdata             anaconda/pkgs/main/noarch::tzdata-2022g-h04d1e81_0vc                 anaconda/pkgs/main/win-64::vc-14.2-h21ff451_1vs2015_runtime     anaconda/pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2wheel              anaconda/pkgs/main/win-64::wheel-0.38.4-py39haa95532_0wincertstore       anaconda/pkgs/main/win-64::wincertstore-0.2-py39haa95532_2Proceed ([y]/n)?Downloading and Extracting Packages
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激活环境，并安装streamlit：

❯ conda activate streamlit-env(streamlit-env)
~ via 🐍 v3.9.16 via 🅒 streamlit-env
❯ pip install streamlit
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Building wheels for collected packages: validatorsBuilding wheel for validators (setup.py) ... doneCreated wheel for validators: filename=validators-0.20.0-py3-none-any.whl size=19591 sha256=6be2d241d0ee322ffc02b86a4fba6d6417764a38a60a55307246ac4c0b5db3a5Stored in directory: c:\users\yp.wang\appdata\local\pip\cache\wheels\93\fb\28\2cfa3bfb17c8e3bd3c1b22853cbfe4cabd25dbb42bb4afd517
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Installing collected packages: pytz, charset-normalizer, zipp, watchdog, urllib3, tzdata, typing-extensions, tornado, toolz, toml, smmap, six, semver, pyrsistent, pympler, pygments, protobuf, pillow, packaging, numpy, mdurl, MarkupSafe, idna, entrypoints, decorator, colorama, cachetools, blinker, attrs, validators, requests, pytz-deprecation-shim, python-dateutil, pyarrow, markdown-it-py, jsonschema, jinja2, importlib-metadata, gitdb, click, tzlocal, rich, pydeck, pandas, gitpython, altair, streamlit
Successfully installed MarkupSafe-2.1.2 altair-4.2.2 attrs-22.2.0 blinker-1.5 cachetools-5.3.0 charset-normalizer-3.0.1 click-8.1.3 colorama-0.4.6 decorator-5.1.1 entrypoints-0.4 gitdb-4.0.10 gitpython-3.1.31 idna-3.4 importlib-metadata-6.0.0 jinja2-3.1.2 jsonschema-4.17.3 markdown-it-py-2.2.0 mdurl-0.1.2 numpy-1.24.2 packaging-23.0 pandas-1.5.3 pillow-9.4.0 protobuf-3.20.3 pyarrow-11.0.0 pydeck-0.8.0 pygments-2.14.0 pympler-1.0.1 pyrsistent-0.19.3 python-dateutil-2.8.2 pytz-2022.7.1 pytz-deprecation-shim-0.1.0.post0 requests-2.28.2 rich-13.3.1 semver-2.13.0 six-1.16.0 smmap-5.0.0 streamlit-1.18.1 toml-0.10.2 toolz-0.12.0 tornado-6.2 typing-extensions-4.5.0 tzdata-2022.7 tzlocal-4.2 urllib3-1.26.14 validators-0.20.0 watchdog-2.2.1 zipp-3.14.0

streamlit的依赖项还是挺多的，这个环境几乎涵盖了用python做数据科学所需的包，所以除了学习streamlit外，其它跟数据科学相关的项目也可以用这个环境。

接下来，一行代码把streamlit运行起来：

(streamlit-env)
~ via 🐍 v3.9.16 via 🅒 streamlit-env
❯ streamlit helloWelcome to Streamlit. Check out our demo in your browser.Local URL: http://localhost:8501Network URL: http://192.168.20.81:8501Ready to create your own Python apps super quickly?Head over to https://docs.streamlit.ioMay you create awesome apps!